My research involved supervised learning techniques to develop machine-learning algorithms. Supervised learning involves using training sets of data to build and model, which is further improved upon with validation sets. Programming in MATLAB and R, I used Bayesian inferencing to study Bernoulli variables, Gaussian variables, beta distributions, gaussian distributions, gamma distributions. I also researched classification and regression techniques, as well as discriminant analysis and support vector machines.